Saved in:
| Main Authors: | Maung, Aye Aye, Lazar, Drew, Zheng, Qi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.11416 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LOCO Feature Importance Inference without Data Splitting via Minipatch Ensembles
by: Gan, Luqin, et al.
Published: (2022)
by: Gan, Luqin, et al.
Published: (2022)
FoLDTree: A ULDA-Based Decision Tree Framework for Efficient Oblique Splits and Feature Selection
by: Wang, Siyu, et al.
Published: (2024)
by: Wang, Siyu, et al.
Published: (2024)
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
by: Zheng, Fangnan, et al.
Published: (2026)
by: Zheng, Fangnan, et al.
Published: (2026)
Interchange and outcome in coastal fisheries management
by: Aye, U Khin Maung
Published: (1997)
by: Aye, U Khin Maung
Published: (1997)
Optimizing High-Dimensional Oblique Splits
by: Chi, Chien-Ming
Published: (2025)
by: Chi, Chien-Ming
Published: (2025)
Kinetic Langevin Splitting Schemes for Constrained Sampling
by: Chada, Neil K., et al.
Published: (2026)
by: Chada, Neil K., et al.
Published: (2026)
Adaptive Split Balancing for Optimal Random Forest
by: Zhang, Yuqian, et al.
Published: (2024)
by: Zhang, Yuqian, et al.
Published: (2024)
SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
by: Lamprinakou, Stamatina, et al.
Published: (2025)
by: Lamprinakou, Stamatina, et al.
Published: (2025)
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic
by: Sordello, Matteo, et al.
Published: (2019)
by: Sordello, Matteo, et al.
Published: (2019)
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems
by: Islam, H M Mohaimanul, et al.
Published: (2024)
by: Islam, H M Mohaimanul, et al.
Published: (2024)
Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
by: McGrath, Sean, et al.
Published: (2022)
by: McGrath, Sean, et al.
Published: (2022)
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series
by: Ma, Zhipeng, et al.
Published: (2024)
by: Ma, Zhipeng, et al.
Published: (2024)
Generalized Bayesian Ensemble Survival Tree (GBEST) model
by: Ballante, Elena, et al.
Published: (2025)
by: Ballante, Elena, et al.
Published: (2025)
Position: Stop Chasing the C-index when Evaluating Survival Analysis Models
by: Lillelund, Christian Marius, et al.
Published: (2025)
by: Lillelund, Christian Marius, et al.
Published: (2025)
Beyond ATE: Multi-Criteria Design for A/B Testing
by: Li, Jiachun, et al.
Published: (2025)
by: Li, Jiachun, et al.
Published: (2025)
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
by: Liu, Xin, et al.
Published: (2024)
by: Liu, Xin, et al.
Published: (2024)
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
by: Paulin, Daniel, et al.
Published: (2024)
by: Paulin, Daniel, et al.
Published: (2024)
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image Denoising
by: Islam, Md. Touhidul, et al.
Published: (2024)
by: Islam, Md. Touhidul, et al.
Published: (2024)
Interpretable Machine Learning for Survival Analysis
by: Langbein, Sophie Hanna, et al.
Published: (2024)
by: Langbein, Sophie Hanna, et al.
Published: (2024)
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization
by: Xiao, Jiancong, et al.
Published: (2024)
by: Xiao, Jiancong, et al.
Published: (2024)
Nonparametric Regression Discontinuity Designs with Survival Outcomes
by: Schuessler, Maximilian, et al.
Published: (2026)
by: Schuessler, Maximilian, et al.
Published: (2026)
Horseshoe Forests for High-Dimensional Causal Survival Analysis
by: Jacobs, Tijn, et al.
Published: (2025)
by: Jacobs, Tijn, et al.
Published: (2025)
Average Causal Effect Estimation in DAGs with Hidden Variables: Beyond Back-Door and Front-Door Criteria
by: Guo, Anna, et al.
Published: (2024)
by: Guo, Anna, et al.
Published: (2024)
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
by: Chen, Jiachen, et al.
Published: (2024)
by: Chen, Jiachen, et al.
Published: (2024)
Doubly Robust Conformalized Survival Analysis with Right-Censored Data
by: Sesia, Matteo, et al.
Published: (2024)
by: Sesia, Matteo, et al.
Published: (2024)
L1 Regularization Paths in Linear Models by Parametric Gaussian Message Passing
by: Li, Yun-Peng, et al.
Published: (2026)
by: Li, Yun-Peng, et al.
Published: (2026)
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
by: Nguyen, Drew T., et al.
Published: (2024)
by: Nguyen, Drew T., et al.
Published: (2024)
Bayesian Federated Inference for Survival Models
by: Pazira, Hassan, et al.
Published: (2024)
by: Pazira, Hassan, et al.
Published: (2024)
Vector-Valued Distributional Reinforcement Learning Policy Evaluation: A Hilbert Space Embedding Approach
by: Mohammadi, Mehrdad, et al.
Published: (2026)
by: Mohammadi, Mehrdad, et al.
Published: (2026)
Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
by: Chen, Qianyi, et al.
Published: (2026)
by: Chen, Qianyi, et al.
Published: (2026)
Deep Partially Linear Transformation Model for Right-Censored Survival Data
by: Yin, Junkai, et al.
Published: (2024)
by: Yin, Junkai, et al.
Published: (2024)
A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
by: Pham, Khiem, et al.
Published: (2023)
by: Pham, Khiem, et al.
Published: (2023)
Ridge Regularization: an Essential Concept in Data Science
by: Hastie, Trevor
Published: (2020)
by: Hastie, Trevor
Published: (2020)
Post-Regularization Confidence Bands for Ordinary Differential Equations
by: Dai, Xiaowu, et al.
Published: (2021)
by: Dai, Xiaowu, et al.
Published: (2021)
Regularizing Extrapolation in Causal Inference
by: Arbour, David, et al.
Published: (2025)
by: Arbour, David, et al.
Published: (2025)
Estimating Heterogeneous Treatment Effects on Survival Outcomes Using Counterfactual Censoring Unbiased Transformations
by: Xu, Shenbo, et al.
Published: (2024)
by: Xu, Shenbo, et al.
Published: (2024)
GRAND: Graph Release with Assured Node Differential Privacy
by: Liu, Suqing, et al.
Published: (2025)
by: Liu, Suqing, et al.
Published: (2025)
Community Detection Guarantees Using Embeddings Learned by Node2Vec
by: Davison, Andrew, et al.
Published: (2023)
by: Davison, Andrew, et al.
Published: (2023)
Toward Valid Generative Clinical Trial Data with Survival Endpoints
by: Chassat, Perrine, et al.
Published: (2025)
by: Chassat, Perrine, et al.
Published: (2025)
Enhanced Survival Trees
by: Zhou, Ruiwen, et al.
Published: (2025)
by: Zhou, Ruiwen, et al.
Published: (2025)
Similar Items
-
LOCO Feature Importance Inference without Data Splitting via Minipatch Ensembles
by: Gan, Luqin, et al.
Published: (2022) -
FoLDTree: A ULDA-Based Decision Tree Framework for Efficient Oblique Splits and Feature Selection
by: Wang, Siyu, et al.
Published: (2024) -
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
by: Zheng, Fangnan, et al.
Published: (2026) -
Interchange and outcome in coastal fisheries management
by: Aye, U Khin Maung
Published: (1997) -
Optimizing High-Dimensional Oblique Splits
by: Chi, Chien-Ming
Published: (2025)